UT4M heart analysis


Tutored project - M2 SSD


Gabriel BOUR

Robin CHAUSSEMY

Khaoula SAOUDI

Délyan ZERGUA


18/12/2024

Table of contents

Table of contents


UT4M presentation

Presentation of the project

  • Context of the project
  • Stackholders
  • Dataset presentation
  • Objectives of the project
  • Challenges of the project

First results

  • Data preprocessing
  • Application

What’s next ?

UT4M presentation

UT4M presentation


Courses

12

Races


Kinds

90

Kinds of races


Participants

5000

Participants


The four moutains of the UT4M

Context of the project

Context of the project


  • The volume of the atria and ventricles increases the heart’s morphology from the start of the race to two days after the race.
  • From two days after the race, the heart’s morphology begins to decrease until ten days after the race, at which point the heart returns to its normal size

Context of the project

Morphological remodeling

Stackholders

Stackholders


Researchers of the HP2 laboratory

  • Stephane Doutreleau
  • Antony Costa

Researchers of the LJK

  • Adeline Leclercq-Samson
  • Franck Corset

M2 SSD Student

  • Gabriel Bour
  • Robin Chaussemy
  • Khaoula Saoudi
  • Delyan Zergua

Dataset presentation

Dataset presentation


Data collection time points

Variables of the study :

  • General informations on ultra trailers (age, weight…)
  • Information on their performance during the race (rank…)
  • About 20 variables on the health of their body
  • More than 50 heart variables

↓

Variables of interests :

  • Left atrial volume & Right atrial volume
  • Left ventricle volume & Right ventricle volume
  • Right ventricle filing surface & Left ventricle filing surface
  • Ejection fraction

Dataset presentation

Number of subjects by race

Races Subjects Dropouts
40km 18 0
100km 12 1
160km 29 11
4x40km 20 4

Summary of the variables of interest

Variables Average Minimum Median Maximum Missing values Missing values (%)
VOL_OGI 39.66 24.58 37.23 65.79 7 9%
VOL_ODI 33.56 19.61 32.98 51.05 7 9%
VTDVGI 64.28 50.56 64.71 88.41 7 9%
VTSVGI 28.57 18.78 28.83 40.1 8 10%
FE2D 55.28 45 54 71 10 13%
STDi 12.47 9.38 12.46 16.28 7 9%
STSi 6.9 4.9 6.7 9.94 7 9%

Objectives of the project

Objectives of the project


Analyze and model the evolution of heart morphology over the time according several dimensions

  • Does the race have an effect on the evolution of cardiac parameters ?
  • Is there significant inter-individual variability ?
  • What about intra-individual variability ?

Challenges of the project

Challenges of the project


Learn and compare performance between Julia and R

  • Handle the low amount of data and the missing values
  • Handle the 4x40km race

First tasks

Data preprocessing


Conversion of column data to row data

ID FE2D_PRE FE2D_POST FE2D_D_2 FE2D_D_5 FE2D_D_10
1 58 65 56 NA 55

→

Time FE2D
-2 58
1 65
3 56
6 NA
11 55

Handling of missing values

Anonymization of individuals

Identification of the dropouts and non-participants

Application


What’s next ?

What’s next ?


Multiple tests to compare times points and races


Spline to modelise data time points


Start workings with the 4x40km race